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» Finding low-utility data structures
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ICML
2010
IEEE
14 years 10 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
SIGMOD
2007
ACM
111views Database» more  SIGMOD 2007»
15 years 10 months ago
Query relaxation using malleable schemas
In contrast to classical databases and IR systems, real-world information systems have to deal increasingly with very vague and diverse structures for information management and s...
Xuan Zhou, Julien Gaugaz, Wolf-Tilo Balke, Wolfgan...
ICML
2010
IEEE
14 years 10 months ago
Robust Subspace Segmentation by Low-Rank Representation
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...
Guangcan Liu, Zhouchen Lin, Yong Yu
ASUNAM
2010
IEEE
14 years 11 months ago
Detecting Highly Overlapping Communities with Model-Based Overlapping Seed Expansion
Abstract--As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms hav...
Aaron McDaid, Neil Hurley
ICSE
1997
IEEE-ACM
15 years 1 months ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson